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Feasibility analysis on distributed energy system of Chongming County based on RETScreen software

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  • Pan, Yu
  • Liu, Liuchen
  • Zhu, Tong
  • Zhang, Tao
  • Zhang, Junying

Abstract

A reference scheme of a multiple energy complementation system is of great importance of Chongming's energy system development. In this paper, four feasible scenarios which are distinguished by energy supply forms have been discussed based on RETScreen software. Economic analysis as well as the renewable sources penetration was taken into account. The outcome of equipment size optimization of each subsystem was summarized and the comparison between different scenarios was afterwards conducted in order to provide some thoughtful comments for the future energy system construction. Results indicate that the introduction of natural gas based CHP system and biomass system is a necessity for covering the energy demand and minimizing the energy import. The CHP scenario achieves the most annual balance (0.3272 billion yuan) and net present value (2.556 billion yuan) and cuts down the GHG emission by 1.978 Mt per year. Moreover, the net present value of the proposed energy system is sensitive to the variation in energy policy. When the financial aids fluctuates by 50%, the net present value can change in the range from 60% to 70%. However, even when the policy is extremely unfavorable, the economical profit of CHP scenario is still obvious.

Suggested Citation

  • Pan, Yu & Liu, Liuchen & Zhu, Tong & Zhang, Tao & Zhang, Junying, 2017. "Feasibility analysis on distributed energy system of Chongming County based on RETScreen software," Energy, Elsevier, vol. 130(C), pages 298-306.
    • Handle: RePEc:eee:energy:v:130:y:2017:i:c:p:298-306
    DOI: 10.1016/j.energy.2017.04.082
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    9. Sousa, Jorge & Lagarto, João & Carvalho, Ezequiel & Martins, Ana, 2023. "SWHORD simulator: A platform to evaluate energy transition targets in future energy systems with increasing renewable generation, electric vehicles, storage technologies, and hydrogen systems," Energy, Elsevier, vol. 271(C).
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    11. Wu, Qiong & Ren, Hongbo & Gao, Weijun & Weng, Peifen & Ren, Jianxing, 2018. "Coupling optimization of urban spatial structure and neighborhood-scale distributed energy systems," Energy, Elsevier, vol. 144(C), pages 472-481.
    12. Sk. A. Shezan & Innocent Kamwa & Md. Fatin Ishraque & S. M. Muyeen & Kazi Nazmul Hasan & R. Saidur & Syed Muhammad Rizvi & Md Shafiullah & Fahad A. Al-Sulaiman, 2023. "Evaluation of Different Optimization Techniques and Control Strategies of Hybrid Microgrid: A Review," Energies, MDPI, vol. 16(4), pages 1-30, February.
    13. Navid Shirzadi & Fuzhan Nasiri & Ursula Eicker, 2020. "Optimal Configuration and Sizing of an Integrated Renewable Energy System for Isolated and Grid-Connected Microgrids: The Case of an Urban University Campus," Energies, MDPI, vol. 13(14), pages 1-18, July.
    14. Huang, Zishuo & Yu, Hang & Chu, Xiangyang & Peng, Zhenwei, 2018. "A novel optimization model based on game tree for multi-energy conversion systems," Energy, Elsevier, vol. 150(C), pages 109-121.
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